NeuralNetwork_BP

通原实验课上的作业，完成AMI码，延迟调制码等的编码(Pass the original experimental class of operations, complete AMI code, delay modulation code, such as encoding)

二阶粒子群，比pso更加精确更加灵敏地优化函数。在标准pso算法中，微粒的飞行速度仅仅是微粒当前位置的函数，而二阶粒子群算法中微粒飞行速度的变化与微粒位置的变化有关(Second swarm, more sensitive and more accurate than pso optimize function. Pso algorithm in the standard, the particle particle flight speed is only a function of the current position, the second particle swarm flying speed of particles in the particle changes related to changes in the position)

matlab图像处理实例详解chap11——图像特征分析(matlab image processing examples explain chap11- image feature analysis)

说明：  人脸检测matlab程序源码，附带ppt说明和运行结果说明(matlab )

Data Hiding fundamentals and applications and Parallel Programming

基于matlab简单图像处理系统中对图片的加噪功能(Based on a simple matlab image processing system for image plus noise functions)

This paper presents a dual voltage source inverter (DVSI) scheme to enhance the power quality and reliability of the microgrid system. The proposed scheme is comprised of two inverters, which enables the microgrid to exchange power generated by the distributed energy resources (DERs) and also to compensate the local unbalanced and nonlinear load. The control algorithms are developed based on instantaneous symmetrical component theory (ISCT) to operate DVSI in grid sharing and grid injecting modes. The proposed scheme has increased reliability, lower bandwidth requirement of the main inverter, lower cost due to reduction in filter size, and better utilization of microgrid power while using reduced dc-link voltage rating for the main inverter. These features make the DVSI scheme a promising option for microgrid supplying sensitive loads. The topology and control algorithm are validated through extensive simulation and experimental results.

it is about binary phase shift keying

Pitch Determination Algorithm(Extract pitch of speech signal based on subharmonic-to-harmonic ratio)

说明：  双层优化模型，求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解(two-layer optimization)